Merchandising tools for the agentic commerce era

Digital merchandising is the process of shaping how products appear across search, browse, category pages, campaigns, recommendations, and AI-powered shopping experiences. With Algolia, teams can use AI, analytics, automation, and no-code controls to create relevant journeys that support both customer needs and business goals.

Merchandising Studio uses AI to help teams personalize experiences, re-rank products, reduce repetitive work, and optimize discovery based on shopper behavior and performance signals. Teams can automate where it helps while keeping control over rules, campaigns, inventory priorities, and business goals.

Merchandising Studio helps keep AI-powered shopping experiences grounded in your business strategy. The rules, rankings, product priorities, and curated experiences merchandisers create can inform how products are surfaced across search, browse, recommendations, and, when connected, generative or agent-powered experiences on your site.

Algolia gives merchandisers a visual workspace for managing product curation, search and category results, Smart Groups, Collections, redirects, no-code banners, AI ranking, personalization, analytics, and A/B testing. Teams can launch, measure, and optimize experiences without relying on developers for day-to-day changes.

Merchandising Studio reduces repetitive work by centralizing rules, analytics, automation, and campaign management in one no-code interface. Teams can respond to trends faster, automate ranking optimization, and focus on strategy instead of manual tuning.

Engineering teams typically handle the initial setup and data integration. After that, business teams can manage merchandising workflows independently, including campaign launches, product curation, ranking adjustments, redirects, banners, and real-time optimization.

Algolia uses real shopper behavior to personalize and re-rank products in real time. Each shopper can see more relevant results while merchandisers maintain control over business rules, campaigns, inventory priorities, retail media placements, and brand strategy.

Yes. Merchandising Studio lets teams manage product placement, rules, ranking, facets, banners, and campaigns across both search results and category or browse pages. Teams can optimize journeys before and after a shopper searches.

Algolia’s dashboards provide real-time insights into click-through rates, conversions, and no-results searches, and more so you can connect every merchandising action to measurable business outcomes. Learn more about Algolia's analytics.

Updates publish instantly across search and category pages. You can react to campaigns, trends, or inventory changes in real time without waiting for a deployment cycle. 

Yes. Algolia is built for large, fast-changing e-commerce catalogs and high-traffic shopping moments. Merchandising Studio gives teams the speed, reliability, and business control needed to manage AI-powered product discovery at scale.